{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2017:XWQUO57TDNCYIXR2J56O4P3O3F","short_pith_number":"pith:XWQUO57T","schema_version":"1.0","canonical_sha256":"bda14777f31b45845e3a4f7cee3f6ed97402c937aab250d7d205c19c5972ecb0","source":{"kind":"arxiv","id":"1710.10586","version":1},"attestation_state":"computed","paper":{"title":"Evaluation of Automatic Video Captioning Using Direct Assessment","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Alan Smeaton, George Awad, Yvette Graham","submitted_at":"2017-10-29T09:37:02Z","abstract_excerpt":"We present Direct Assessment, a method for manually assessing the quality of automatically-generated captions for video. Evaluating the accuracy of video captions is particularly difficult because for any given video clip there is no definitive ground truth or correct answer against which to measure. Automatic metrics for comparing automatic video captions against a manual caption such as BLEU and METEOR, drawn from techniques used in evaluating machine translation, were used in the TRECVid video captioning task in 2016 but these are shown to have weaknesses. The work presented here brings hum"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"1710.10586","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2017-10-29T09:37:02Z","cross_cats_sorted":[],"title_canon_sha256":"b6d4930c95ec208f824672ade5f2065c764231b00114845807b5c2b2b606f4d8","abstract_canon_sha256":"ac39ec632f3bc99596e028f8e2b9a498e58c6352d673cba8d8e55b222461539b"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:00:22.362512Z","signature_b64":"VB3QGW0OG0RjOxnSVrfK4q3FNfSIWuy7sKaxXjiDpqagnWhGzx4u0qCNJ0xayrgu3QlhP5n5RRfldNF8OnKPAA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"bda14777f31b45845e3a4f7cee3f6ed97402c937aab250d7d205c19c5972ecb0","last_reissued_at":"2026-05-18T00:00:22.362048Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:00:22.362048Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Evaluation of Automatic Video Captioning Using Direct Assessment","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Alan Smeaton, George Awad, Yvette Graham","submitted_at":"2017-10-29T09:37:02Z","abstract_excerpt":"We present Direct Assessment, a method for manually assessing the quality of automatically-generated captions for video. Evaluating the accuracy of video captions is particularly difficult because for any given video clip there is no definitive ground truth or correct answer against which to measure. Automatic metrics for comparing automatic video captions against a manual caption such as BLEU and METEOR, drawn from techniques used in evaluating machine translation, were used in the TRECVid video captioning task in 2016 but these are shown to have weaknesses. The work presented here brings hum"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1710.10586","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"aliases":[{"alias_kind":"arxiv","alias_value":"1710.10586","created_at":"2026-05-18T00:00:22.362123+00:00"},{"alias_kind":"arxiv_version","alias_value":"1710.10586v1","created_at":"2026-05-18T00:00:22.362123+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1710.10586","created_at":"2026-05-18T00:00:22.362123+00:00"},{"alias_kind":"pith_short_12","alias_value":"XWQUO57TDNCY","created_at":"2026-05-18T12:31:56.362134+00:00"},{"alias_kind":"pith_short_16","alias_value":"XWQUO57TDNCYIXR2","created_at":"2026-05-18T12:31:56.362134+00:00"},{"alias_kind":"pith_short_8","alias_value":"XWQUO57T","created_at":"2026-05-18T12:31:56.362134+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/XWQUO57TDNCYIXR2J56O4P3O3F","json":"https://pith.science/pith/XWQUO57TDNCYIXR2J56O4P3O3F.json","graph_json":"https://pith.science/api/pith-number/XWQUO57TDNCYIXR2J56O4P3O3F/graph.json","events_json":"https://pith.science/api/pith-number/XWQUO57TDNCYIXR2J56O4P3O3F/events.json","paper":"https://pith.science/paper/XWQUO57T"},"agent_actions":{"view_html":"https://pith.science/pith/XWQUO57TDNCYIXR2J56O4P3O3F","download_json":"https://pith.science/pith/XWQUO57TDNCYIXR2J56O4P3O3F.json","view_paper":"https://pith.science/paper/XWQUO57T","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1710.10586&json=true","fetch_graph":"https://pith.science/api/pith-number/XWQUO57TDNCYIXR2J56O4P3O3F/graph.json","fetch_events":"https://pith.science/api/pith-number/XWQUO57TDNCYIXR2J56O4P3O3F/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/XWQUO57TDNCYIXR2J56O4P3O3F/action/timestamp_anchor","attest_storage":"https://pith.science/pith/XWQUO57TDNCYIXR2J56O4P3O3F/action/storage_attestation","attest_author":"https://pith.science/pith/XWQUO57TDNCYIXR2J56O4P3O3F/action/author_attestation","sign_citation":"https://pith.science/pith/XWQUO57TDNCYIXR2J56O4P3O3F/action/citation_signature","submit_replication":"https://pith.science/pith/XWQUO57TDNCYIXR2J56O4P3O3F/action/replication_record"}},"created_at":"2026-05-18T00:00:22.362123+00:00","updated_at":"2026-05-18T00:00:22.362123+00:00"}